BACKGROUND: Basaloid salivary gland neoplasms (BSNs), which include benign primary tumors and primary or metastatic malignancies, show overlapping morphology in fine-needle aspiration (FNA). The Milan system recommends assigning a grade (low or high) to malignant salivary neoplasms because of the impact on surgical planning. This study investigated cytomorphologic features of BSNs on FNA that would help to favor a high-grade malignancy over a low-grade malignancy or a benign tumor. METHODS: Two pathologists performed a double-blinded cytologic evaluation of FNA cases diagnosed as BSNs that had corresponding surgical resections. The diagnosis made with the Milan system was correlated with the final surgical diagnosis and grade. Cytologic sensitivity, specificity, and predictive values were calculated. RESULTS: There were 132 BSN FNA cases; cytology slides were available for 77 of 87 patients who had undergone resection. The risk of malignancy for the benign neoplasm (BN), salivary gland neoplasm of uncertain malignant potential (SUMP), suspicious for malignancy (SFM), and malignant categories were 13.6%, 22%, 100%, and 100%, respectively. The sensitivity of the malignant/SFM category was 51.7%; another 37.9% of confirmed malignancies were diagnosed as SUMP. The specificity of the BN category was 86%. Favoring a high-grade malignancy on FNA had 100% accuracy (5 of 5). Favoring a low-grade malignancy on FNA had 75% accuracy (6 of 8). The most specific cytomorphologic clues for a high-grade malignancy were necrotic/apoptotic debris, mitoses, discohesion, and anisonucleosis. CONCLUSIONS: BSNs encompass a broad spectrum of primary and metastatic tumors. Necrotic/apoptotic debris, mitotic activity, discohesion, and significant anisonucleosis, alone or especially in combination, should make a cytopathologist suspect a high-grade malignancy.
BACKGROUND: Basaloid salivary gland neoplasms (BSNs), which include benign primary tumors and primary or metastatic malignancies, show overlapping morphology in fine-needle aspiration (FNA). The Milan system recommends assigning a grade (low or high) to malignant salivary neoplasms because of the impact on surgical planning. This study investigated cytomorphologic features of BSNs on FNA that would help to favor a high-grade malignancy over a low-grade malignancy or a benign tumor. METHODS: Two pathologists performed a double-blinded cytologic evaluation of FNA cases diagnosed as BSNs that had corresponding surgical resections. The diagnosis made with the Milan system was correlated with the final surgical diagnosis and grade. Cytologic sensitivity, specificity, and predictive values were calculated. RESULTS: There were 132 BSN FNA cases; cytology slides were available for 77 of 87 patients who had undergone resection. The risk of malignancy for the benign neoplasm (BN), salivary gland neoplasm of uncertain malignant potential (SUMP), suspicious for malignancy (SFM), and malignant categories were 13.6%, 22%, 100%, and 100%, respectively. The sensitivity of the malignant/SFM category was 51.7%; another 37.9% of confirmed malignancies were diagnosed as SUMP. The specificity of the BN category was 86%. Favoring a high-grade malignancy on FNA had 100% accuracy (5 of 5). Favoring a low-grade malignancy on FNA had 75% accuracy (6 of 8). The most specific cytomorphologic clues for a high-grade malignancy were necrotic/apoptotic debris, mitoses, discohesion, and anisonucleosis. CONCLUSIONS: BSNs encompass a broad spectrum of primary and metastatic tumors. Necrotic/apoptotic debris, mitotic activity, discohesion, and significant anisonucleosis, alone or especially in combination, should make a cytopathologist suspect a high-grade malignancy.
Authors: Daniel N Johnson; Mine Onenerk; Jeffrey F Krane; Esther Diana Rossi; Zubair Baloch; Güliz Barkan; Massimo Bongiovanni; Fabiano Callegari; Sule Canberk; Glen Dixon; Andrew Field; Christopher C Griffith; Nirag Jhala; Sara Jiang; Daniel Kurtycz; Lester Layfield; Oscar Lin; Zahra Maleki; Miguel Perez-Machado; Marc Pusztaszeri; Philippe Vielh; He Wang; Matthew A Zarka; William C Faquin Journal: Cancer Cytopathol Date: 2020-04-08 Impact factor: 5.284
Authors: Daniel J Lubin; Christopher C Griffith; Darren J Buonocore; Xiao-Jun Wei; Oscar Lin Journal: Cancer Cytopathol Date: 2020-11-02 Impact factor: 5.284